研飞ivySCI (青藤学术）

Swarm and Evolutionary Computation

短名	Swarm. Evol. Comput.
Journal Impact	8.37
国际分区	COMPUTER SCIENCE, THEORY & METHODS(Q1)
期刊索引	SCI Q1中科院 1 区

ISSN	2210-6502, 2210-6510
h-index	98
国内分区	计算机科学(1区)计算机科学计算机理论方法(1区)计算机科学计算机人工智能(2区)

SWARM AND EVOLUTIONARY COMPUTATION 是同类中第一个经过同行评审的出版物，旨在报告基于群体和进化算法原理的自然启发智能计算领域的最新研究和发展。它发表先进的、创新的和跨学科的研究，涉及两种范式及其混合的理论、实验和实践方面。 SWARM AND EVOLUTIONARY COMPUTATION 致力于及时发表高质量的、经过同行评审的原创文章，这些文章推动了进化计算和群体智能各个方面的最新技术水平。审查最新主题的最新调查论文以及新颖有趣的应用程序也将受到欢迎。感兴趣的主题包括但不限于：遗传算法和遗传编程、进化策略和进化编程，微分进化、人工免疫系统、粒子群、蚁群、细菌觅食、人工蜜蜂、萤火虫算法、和谐搜索、人工生命、数字生物、分布算法估计、随机扩散搜索、量子计算、纳米计算、膜计算、人类以中心计算、算法混合、模因计算、自主计算、自组织系统、组合、离散、二进制、约束、多目标、多模态、动态和大规模优化。

期刊主页投稿网址

涉及主题	计算机科学数学数学优化人工智能算法机器学习工程类生物经济物理程序设计语言操作系统统计进化算法地理
出版信息	出版商: Elsevier B.V.，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2011，原创研究文献占比: 99.42%，自引率:12.20%， Gold OA占比: 5.86%

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HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information

2024-12-1

Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration

2024-12-1

A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization

2024-12-1

Exploring interpretable evolutionary optimization via significance of each constraint and population diversity

2024-12-1

Clustering-based evolutionary algorithm for constrained multimodal multi-objective optimization

2024-12-1

Solving the storage location assignment of large-scale automated warehouse based on dynamic vortex search algorithm

2024-12-1

CIR-DE: A chaotic individual regeneration mechanism for solving the stagnation problem in differential evolution

2024-12-1

Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization

2024-12-1

The constrained permutation Flowshop problem: An effective two-stage iterated greedy algorithm to minimize weighted tardiness

2024-12-1

Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach

2024-12-1

Deep reinforcement learning assisted memetic scheduling of drones for railway catenary deicing

2024-12-1

Manifold-assisted coevolutionary algorithm for constrained multi-objective optimization

2024-12-1

Parallel fractional dominance MOEAs for feature subset selection in big data

2024-12-1

IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm

2024-12-1

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data

2024-12-1

Coevolutionary multitasking for constrained multiobjective optimization

2024-12-1

The IGD-based prediction strategy for dynamic multi-objective optimization

2024-12-1

Self-organizing surrogate-assisted non-dominated sorting differential evolution

2024-12-1

An optimized watermarking scheme based on genetic algorithm and elliptic curve

2024-12-1

An arithmetic optimization algorithm with balanced diversity and convergence for multimodal multiobjective optimization

2024-12-1

A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis

2024-10-1

A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling

2024-10-1

A dynamic multi-objective optimization algorithm with a dual mechanism based on prediction and archive

2024-10-1

Photovoltaic model parameters identification using diversity improvement-oriented differential evolution

2024-10-1

Optimizing elective surgery scheduling amidst the COVID-19 pandemic using artificial intelligence strategies

2024-10-1

Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm

2024-10-1

Two-stage double deep Q-network algorithm considering external non-dominant set for multi-objective dynamic flexible job shop scheduling problems

2024-10-1

Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing

2024-10-1

A Q-learning-based biology migration algorithm for energy-saving flexible job shop scheduling with speed adjustable machines and transporters

2024-10-1

RBSS: A fast subset selection strategy for multi-objective optimization

2024-10-1

A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem

2024-10-1

A novel evolutionary strategy optimization algorithm for reliability redundancy allocation problem with heterogeneous components

2024-10-1

Constraint landscape knowledge assisted constrained multiobjective optimization

2024-10-1

When large language model meets optimization

2024-10-1

A <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si13.svg" display="inline" id="d1e4047"><mml:mi>Q</mml:mi></mml:math>-Learning based NSGA-II for dynamic flexible job shop scheduling with limited transportation resources

2024-10-1

Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges

2024-10-1

Co-evolution genetic programming-based hyper-heuristics for the stochastic project scheduling problem with resource transfer and idle costs

2024-10-1

An Adaptive Multi-Meme Memetic Algorithm for the prize-collecting generalized minimum spanning tree problem

2024-10-1

A many-objective evolutionary algorithm based on interaction force and hybrid optimization mechanism

2024-10-1

Two-stage knowledge-assisted coevolutionary NSGA-II for bi-objective path planning of multiple unmanned aerial vehicles

2024-10-1

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification

2024-10-1

PSO-based lightweight neural architecture search for object detection

2024-10-1

Multimodal multiobjective differential evolution algorithm based on enhanced decision space search

2024-10-1

Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment

2024-10-1

A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time

2024-10-1

Multi-strategy particle swarm optimization with adaptive forgetting for base station layout

2024-9-14

Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems

2024-9-14

Hybrid loading situation vehicle routing problem in the context of agricultural harvesting: A reconstructed MOEA/D with parallel populations

2024-9-12

Learning to search promising regions by space partitioning for evolutionary methods

2024-9-11

Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots

2024-9-11

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Swarm and Evolutionary Computation

期刊引文格式

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最新文章

HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information

Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration

A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization

Exploring interpretable evolutionary optimization via significance of each constraint and population diversity

Clustering-based evolutionary algorithm for constrained multimodal multi-objective optimization

Solving the storage location assignment of large-scale automated warehouse based on dynamic vortex search algorithm

CIR-DE: A chaotic individual regeneration mechanism for solving the stagnation problem in differential evolution

Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization

The constrained permutation Flowshop problem: An effective two-stage iterated greedy algorithm to minimize weighted tardiness

Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach

Deep reinforcement learning assisted memetic scheduling of drones for railway catenary deicing

Manifold-assisted coevolutionary algorithm for constrained multi-objective optimization

Parallel fractional dominance MOEAs for feature subset selection in big data

IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data

Coevolutionary multitasking for constrained multiobjective optimization

The IGD-based prediction strategy for dynamic multi-objective optimization

Self-organizing surrogate-assisted non-dominated sorting differential evolution

An optimized watermarking scheme based on genetic algorithm and elliptic curve

An arithmetic optimization algorithm with balanced diversity and convergence for multimodal multiobjective optimization

A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis

A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling

A dynamic multi-objective optimization algorithm with a dual mechanism based on prediction and archive

Photovoltaic model parameters identification using diversity improvement-oriented differential evolution

Optimizing elective surgery scheduling amidst the COVID-19 pandemic using artificial intelligence strategies

Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm

Two-stage double deep Q-network algorithm considering external non-dominant set for multi-objective dynamic flexible job shop scheduling problems

Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing

A Q-learning-based biology migration algorithm for energy-saving flexible job shop scheduling with speed adjustable machines and transporters

RBSS: A fast subset selection strategy for multi-objective optimization

A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem

A novel evolutionary strategy optimization algorithm for reliability redundancy allocation problem with heterogeneous components

Constraint landscape knowledge assisted constrained multiobjective optimization

When large language model meets optimization

A <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si13.svg" display="inline" id="d1e4047"><mml:mi>Q</mml:mi></mml:math>-Learning based NSGA-II for dynamic flexible job shop scheduling with limited transportation resources

Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges

Co-evolution genetic programming-based hyper-heuristics for the stochastic project scheduling problem with resource transfer and idle costs

An Adaptive Multi-Meme Memetic Algorithm for the prize-collecting generalized minimum spanning tree problem

A many-objective evolutionary algorithm based on interaction force and hybrid optimization mechanism

Two-stage knowledge-assisted coevolutionary NSGA-II for bi-objective path planning of multiple unmanned aerial vehicles

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification

PSO-based lightweight neural architecture search for object detection

Multimodal multiobjective differential evolution algorithm based on enhanced decision space search

Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment

A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time

Multi-strategy particle swarm optimization with adaptive forgetting for base station layout

Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems

Hybrid loading situation vehicle routing problem in the context of agricultural harvesting: A reconstructed MOEA/D with parallel populations

Learning to search promising regions by space partitioning for evolutionary methods

Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots

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